compare_classifiers.compare_f1
Functions
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Show cross validation results, including fit time and f1 scores for each estimator. |
Module Contents
- compare_classifiers.compare_f1.compare_f1(estimators, X_train, y_train)[source]
Show cross validation results, including fit time and f1 scores for each estimator.
- Parameters:
estimators (list of tuples) – A list of (name, estimator) tuples, consisting of individual estimators to be processed through the voting or stacking classifying ensemble. Each tuple contains a string: name/label of estimator, and a model: the estimator, which implements the scikit-learn API (fit, predict, etc.).
X_train (Pandas data frame or Numpy array) – Data frame containing training data along with n features or ndarray with no feature names.
y_train (Pandas series or Numpy array) – Target class labels for data in X_train.
Returns
--------
frame (Pandas data) – A data frame showing cross validation results on training data, with 3 columns: fit_time, test_score, train_score and 1 rows for each estimator.
Example
--------
[ (>>> estimators =)
('rf' (...)
RandomForestClassifier(n_estimators=10
random_state=42))
:param : :param … (‘svm’: :param make_pipeline(StandardScaler(): :param LinearSVC(random_state=42))): :param … ]: :param >>> compare_f1(estimators: :param X: :param y):